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Book details
File Size: 1.21 MB
Format: epub
Print Length: 162 pages
Page Numbers Source ISBN: 1789347564
Publisher: Packt Publishing; 1 edition (August 29, 2018)
Publication Date: August 29, 2018
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B07GZJD473

Who this book is for

This book is for Python programmers that want to learn more about testing. This book is also for QA testers and those who already benefit from programming with tests daily but want to improve their existing testing tools.

Learn the pytest way to write simple tests which can also be used to write complex tests

Key Features

Become proficient with pytest from day one by solving real-world testing problems
Usepytestto write tests more efficiently
Scale from simple to complex and functional testing

Book Description


Python’s standard unit test module is based on the xUnit family of frameworks, which has its origins in Smalltalk and Java, and tends to be verbose to use and not easily extensible. The pytest framework, on the other hand, is very simple to get started, but powerful enough to cover complex testing integration scenarios, being considered by many the true Pythonic approach to testing in Python.

In this book, you will learn how to get started right away and get the most out of pytest in your daily workflow, exploring powerful mechanisms and plugins to facilitate many common testing tasks. You will also see how to use pytest in existing unit test-based test suites and will learn some tricks to make the jump to a pytest-style test suite quickly and easily.

What you will learn

Write and run simple and complex tests
Organize tests in files and directories
Find out how to be more productive on the command line
Markers and how to skip,xfail and parametrize tests
Explorefxturesand techniques to use them effectively, such as tmpdir,pytestconfg, and monkeypatch
Convertunittestsuites to pytest using little-known techniques
Use third-party plugins

Table of Contents

Introducing pytest
Writing and running tests
Markers and parametrization
Fixtures
Plugins
Converting unit test suites to pytest
Wrapping up

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